Design of knowledge-based systems for automated deployment of building management services

Schneider, Georg Ferdinand; Kontes, Georgios; Qiu, Haonan; Silva, Filipe J.; Bucur, Mircea; Malanik, Jakub; Schindler, Zdenek; Andriopolous, Panos; Agustin-Camacho, Pablo de; Amorrortu, Ander Romero; Grün, Gunnar

doi:10.1016/j.autcon.2020.103402

Cited by 15 publications

(12 citation statements)

References 31 publications

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“…This kind of information can usually be contained in a building design model like the ones that are produced in CAD planning tools and that can be serialized in BIM-compliant data formats. The use of such BIM models represent further extensions of the recommendation system like proposed by Stenzel et al (2013) and Schneider et al (2020).…”

Section: Data Storage and Transfermentioning

confidence: 99%

A recommendation system for energy saving and user engagement in existing buildings

Pruvost¹,

Calleja-Rodríguez²,

Enge-Rosenblatt³

et al. 2021

Proceedings of the 2021 European Conference on Computing in Construction

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This paper presents an IT system that provides building users with hands-on executable recommendations in order to reduce their energy consumption. For that purpose, it analyses building operation data in real time in order to identify energy wastes as well as suitable energy conservation measures that shall help saving energy without compromising comfort and indoor environmental quality. One main goal is to provide a highly scalable solution that can be easily replicated and used in a wide range of buildings thus enabling resource saving at a large scale.

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Section: Data Storage and Transfermentioning

confidence: 99%

A recommendation system for energy saving and user engagement in existing buildings

Pruvost¹,

Calleja-Rodríguez²,

Enge-Rosenblatt³

et al. 2021

Proceedings of the 2021 European Conference on Computing in Construction

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“…Hence, the respective knowledge of stakeholders needs to be collected according to disparate perspectives and heterogeneous formats. Referring to [12], who suggests that in order to cope with this challenging task is through semantic web technologies. It is allowed to successfully integrate respective building knowledge into the knowledge base.…”

Section: Knowledge-based Systemsmentioning

confidence: 99%

“…It can be constructed-deployed if the data-information required inputs are correctly available. In the KBS, the process will automate to solve the problems, whereas in the traditional databases it can only be discovered by reading the database scheme [12].…”

Section: Knowledge-based Systemsmentioning

confidence: 99%

A Combining Method for Systems Requirement of Knowledge - Based Medical Hazardous Waste

Rohajawati¹,

Fairus²,

Saragih³

et al. 2021

TEM Journal

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Applying Knowledge-Based Systems (KBS) for hazardous medical waste (HMW) are still limited according to knowledge sources. The two mechanisms of the KBS are commonly known as rulebased and case-based, which can be extracted based on existing regulations that are divided into global, national, provincial, and local authorities. This study used Soft System Methodology and regulation approaches to find out the gaps in coordinating and managing HMW in Indonesia. It is used to depict the rule, processes, and stakeholders for identifying the features of the KBS. The study was taken using fourstage of SSM conducted to classify the objects and their feature requirements. The knowledge source was verified and validated using Focus Group Discussion and represented on CATWOE mode. Most of the regulations are not complying with the practicality of the HMW since it is produced until disposal. The methods give an alternative for knowledge engineers to feed the basis of knowledge.

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“…The second generation of systems aimed at broader applicability, following the idea of operating systems for computers, where many applications for different purposes all run in a common environment and use a common database (Fierro and Culler 2015;Synergy Labs 2020). To avoid hard-coding and by-hand adaptation, data models were introduced to enhance the interoperability of different subsystems and digital services (Dibowski and Massa Gray 2020;Schneider et al 2020). Latest activities are based on Semantic Web technologies developed by the World Wide Web Consortium (W3C) (W3C-LBD-CG 2022).…”

Section: Introductionmentioning

confidence: 99%

“…Mostly following the methods described by Schneider et al (2020), this study extends these efforts to establish self-adapting expert systems in the domains of automated fault detection and diagnostics (AFDD) and user recommendation systems. The novelty of this work lies in the attempt to develop a dedicated ontology for formulating generic expert knowledge that can be reused for any building.…”

Section: Introductionmentioning

confidence: 99%

Ontology-Based Expert System for Automated Monitoring of Building Energy Systems

Pruvost

Wilde

Enge-Rosenblatt

2023

J. Comput. Civ. Eng.

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Modern buildings have complex technical equipment that is hard to operate efficiently from a user's point of view. Users and building managers therefore need guidance in terms of finding the most efficient operational strategies and monitoring plans to avoid faults and energy wastes. Current support systems can do that, but they must usually be adapted to each building manually. In this study, an expert system is proposed that provides a complementary analysis layer with semantic modeling and knowledge reuse. During the configuration phase, the system starts from a semantic description of a building energy system to identify potential efficiency risks and automatically apply generic monitoring functions and rules for building operation. In the operational phase, it generates advices based on continuous real-time analysis of building operational data. The current implementation of the expert system in 14 buildings proved that the approach can allow for a deployment on a larger scale.

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Design of knowledge-based systems for automated deployment of building management services

Cited by 15 publications

References 31 publications

A recommendation system for energy saving and user engagement in existing buildings

A recommendation system for energy saving and user engagement in existing buildings

A Combining Method for Systems Requirement of Knowledge - Based Medical Hazardous Waste

Ontology-Based Expert System for Automated Monitoring of Building Energy Systems

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